Random processes : filtering, estimation, and detection

Random processes filtering, estimation, and detection

An understanding of random processes is crucial to many engineering fields-including communication theory, computer vision, and digital signal processing in electrical and computer engineering, and vibrational theory and stress analysis in mechanical engineering. The filtering, estimation, and detec...

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Detalles Bibliográficos
Otros Autores: Ludeman, Lonnie C., author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Hoboken, New Jersey : Wiley-Interscience c2003.
Edición:1st edition
Materias:
Stochastic processes
Signal processing
Image processing
Mathematics
Mathematical Statistics
Physical Sciences & Mathematics
Processos Estocasticos.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009626864006719
Tabla de Contenidos:
  • Preface.
  • Experiments and Probability.
  • Random Variables.
  • Estimation of Random Variables.
  • Random Processes.
  • Linear Systems: Random Processes.
  • Nonlinear Systems: Random Processes.
  • Optimum Linear Filters: The Wiener Approach.
  • Optimum Linear Systems: The Kalman Approach.
  • Detection Theory: Discrete Observation.
  • Detection Theory: Continuous Observation.
  • Appendix A. The Bilateral Laplace Transform.
  • Appendix B. Table of Binomial Probabilities.
  • Appendix C. Table of Discrete Random Variables and Properties.
  • Appendix D. Table of Continuous Random Variables and Properties.
  • Appendix E. Table of Gaussian Cumulative Distribution Function.
  • Index.

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